CHANGE DETECTION IN MULTITEMPORAL HR SAR IMAGES: A HYPOTHESIS TEST-BASED APPROACH

被引：4
|
作者：
Horta, Michelle M. [1 ]
Mascarenhas, Nelson D. A. [1 ]
Sportouche, H. [2 ]
Seichepine, N. [2 ]
Tupin, F. [2 ]
Nicolas, J. -M. [2 ]
机构：
[1] Univ Fed Sao Carlos, Dept Comp, BR-13565905 Sao Carlos, SP, Brazil
[2] Inst Telecom, Telecom Paris Tech LTCI, TSI Dept, F-75634 Paris, France
来源：
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年
基金：
巴西圣保罗研究基金会;
关键词：
multi-temporal SAR image; step change pattern; maximum likelihood ratio test; non-local filtering;
D O I：
10.1109/IGARSS.2012.6351560
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Starting with a comparison of state of the art criteria and the influence of filtering, this paper presents an analysis tool for multi-temporal SAR images. It is based on the detection of a step change pattern with a generalized maximum likelihood ratio test. Compared to previous works on similar subject, the proposed approach takes into account a filtering step by a non-local approach and a spatially varying equivalent number of looks. Performance analysis is first done on synthetic data and then results on a real data set are analyzed.
引用
收藏
页码：374 / 377
页数：4
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